Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	142193
Missing cells	316559
Missing cells (%)	9.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	25.0 MiB
Average record size in memory	184.0 B

Variable types

Categorical	7
Numeric	16

Alerts

`Date` has a high cardinality: 3436 distinct values	High cardinality
`MinTemp` is highly correlated with `MaxTemp` and 3 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 3 other fields	High correlation
`Rainfall` is highly correlated with `RainToday`	High correlation
`Evaporation` is highly correlated with `MinTemp` and 4 other fields	High correlation
`Sunshine` is highly correlated with `Humidity9am` and 4 other fields	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed9am` and 1 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindGustSpeed`	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed`	High correlation
`Humidity9am` is highly correlated with `Evaporation` and 2 other fields	High correlation
`Humidity3pm` is highly correlated with `Sunshine` and 4 other fields	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Cloud9am` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Cloud3pm` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Temp9am` is highly correlated with `MinTemp` and 3 other fields	High correlation
`Temp3pm` is highly correlated with `MinTemp` and 5 other fields	High correlation
`RainToday` is highly correlated with `Rainfall`	High correlation
`MinTemp` is highly correlated with `MaxTemp` and 2 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 5 other fields	High correlation
`Rainfall` is highly correlated with `RainToday`	High correlation
`Evaporation` is highly correlated with `MaxTemp` and 3 other fields	High correlation
`Sunshine` is highly correlated with `Humidity3pm` and 2 other fields	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed9am` and 1 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`Humidity9am` is highly correlated with `MaxTemp` and 2 other fields	High correlation
`Humidity3pm` is highly correlated with `MaxTemp` and 5 other fields	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Cloud9am` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Cloud3pm` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Temp9am` is highly correlated with `MinTemp` and 3 other fields	High correlation
`Temp3pm` is highly correlated with `MinTemp` and 4 other fields	High correlation
`RainToday` is highly correlated with `Rainfall`	High correlation
`MinTemp` is highly correlated with `MaxTemp` and 2 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 3 other fields	High correlation
`Rainfall` is highly correlated with `RainToday`	High correlation
`Evaporation` is highly correlated with `MaxTemp`	High correlation
`Sunshine` is highly correlated with `Cloud9am` and 1 other fields	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed3pm`	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed`	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Cloud9am` is highly correlated with `Sunshine` and 1 other fields	High correlation
`Cloud3pm` is highly correlated with `Sunshine` and 1 other fields	High correlation
`Temp9am` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Temp3pm` is highly correlated with `MinTemp` and 2 other fields	High correlation
`RainToday` is highly correlated with `Rainfall`	High correlation
`Location` is highly correlated with `MinTemp` and 8 other fields	High correlation
`MinTemp` is highly correlated with `Location` and 5 other fields	High correlation
`MaxTemp` is highly correlated with `Location` and 5 other fields	High correlation
`Sunshine` is highly correlated with `Humidity9am` and 4 other fields	High correlation
`WindGustDir` is highly correlated with `Location` and 2 other fields	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed9am` and 1 other fields	High correlation
`WindDir9am` is highly correlated with `Location` and 2 other fields	High correlation
`WindDir3pm` is highly correlated with `Location` and 2 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`Humidity9am` is highly correlated with `Location` and 6 other fields	High correlation
`Humidity3pm` is highly correlated with `Location` and 8 other fields	High correlation
`Pressure9am` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Pressure3pm` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Cloud9am` is highly correlated with `Sunshine` and 3 other fields	High correlation
`Cloud3pm` is highly correlated with `Sunshine` and 3 other fields	High correlation
`Temp9am` is highly correlated with `Location` and 6 other fields	High correlation
`Temp3pm` is highly correlated with `Location` and 5 other fields	High correlation
`RainToday` is highly correlated with `Humidity3pm`	High correlation
`RainTomorrow` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Evaporation` has 60843 (42.8%) missing values	Missing
`Sunshine` has 67816 (47.7%) missing values	Missing
`WindGustDir` has 9330 (6.6%) missing values	Missing
`WindGustSpeed` has 9270 (6.5%) missing values	Missing
`WindDir9am` has 10013 (7.0%) missing values	Missing
`WindDir3pm` has 3778 (2.7%) missing values	Missing
`WindSpeed3pm` has 2630 (1.8%) missing values	Missing
`Humidity9am` has 1774 (1.2%) missing values	Missing
`Humidity3pm` has 3610 (2.5%) missing values	Missing
`Pressure9am` has 14014 (9.9%) missing values	Missing
`Pressure3pm` has 13981 (9.8%) missing values	Missing
`Cloud9am` has 53657 (37.7%) missing values	Missing
`Cloud3pm` has 57094 (40.2%) missing values	Missing
`Temp3pm` has 2726 (1.9%) missing values	Missing
`Rainfall` has 90275 (63.5%) zeros	Zeros
`Sunshine` has 2308 (1.6%) zeros	Zeros
`WindSpeed9am` has 8612 (6.1%) zeros	Zeros
`Cloud9am` has 8587 (6.0%) zeros	Zeros
`Cloud3pm` has 4957 (3.5%) zeros	Zeros

Reproduction

Analysis started	2021-10-31 12:42:38.594898
Analysis finished	2021-10-31 12:43:55.856555
Duration	1 minute and 17.26 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Date
Categorical

HIGH CARDINALITY

Distinct	3436
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

2013-12-01	49
2014-01-09	49
2014-01-11	49
2014-01-12	49
2014-01-13	49
Other values (3431)	141948

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	92 ?
Unique (%)	0.1%

Sample

1st row	2008-12-01
2nd row	2008-12-02
3rd row	2008-12-03
4th row	2008-12-04
5th row	2008-12-05

Common Values

Value	Count	Frequency (%)
2013-12-01	49	< 0.1%
2014-01-09	49	< 0.1%
2014-01-11	49	< 0.1%
2014-01-12	49	< 0.1%
2014-01-13	49	< 0.1%
2014-01-14	49	< 0.1%
2014-01-16	49	< 0.1%
2014-01-19	49	< 0.1%
2014-01-20	49	< 0.1%
2014-01-21	49	< 0.1%
Other values (3426)	141703	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2013-12-01	49	< 0.1%
2017-02-14	49	< 0.1%
2017-05-03	49	< 0.1%
2017-06-23	49	< 0.1%
2017-06-21	49	< 0.1%
2017-06-15	49	< 0.1%
2017-06-14	49	< 0.1%
2017-06-12	49	< 0.1%
2017-06-10	49	< 0.1%
2017-06-09	49	< 0.1%
Other values (3426)	141703	99.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Location
Categorical

HIGH CORRELATION

Distinct	49
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

Canberra	3418
Sydney	3337
Perth	3193
Darwin	3192
Hobart	3188
Other values (44)	125865

Length

Max length	16
Median length	8
Mean length	8.703206206
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Albury
2nd row	Albury
3rd row	Albury
4th row	Albury
5th row	Albury

Common Values

Value	Count	Frequency (%)
Canberra	3418	2.4%
Sydney	3337	2.3%
Perth	3193	2.2%
Darwin	3192	2.2%
Hobart	3188	2.2%
Brisbane	3161	2.2%
Adelaide	3090	2.2%
Bendigo	3034	2.1%
Townsville	3033	2.1%
AliceSprings	3031	2.1%
Other values (39)	110516	77.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
canberra	3418	2.4%
sydney	3337	2.3%
perth	3193	2.2%
darwin	3192	2.2%
hobart	3188	2.2%
brisbane	3161	2.2%
adelaide	3090	2.2%
bendigo	3034	2.1%
townsville	3033	2.1%
alicesprings	3031	2.1%
Other values (39)	110516	77.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

MinTemp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	389
Distinct (%)	0.3%
Missing	637
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	12.18639973

Minimum	-8.5
Maximum	33.9
Zeros	156
Zeros (%)	0.1%
Negative	3406
Negative (%)	2.4%
Memory size	1.1 MiB

Quantile statistics

Minimum	-8.5
5-th percentile	1.8
Q1	7.6
median	12
Q3	16.8
95-th percentile	23
Maximum	33.9
Range	42.4
Interquartile range (IQR)	9.2

Descriptive statistics

Standard deviation	6.403282675
Coefficient of variation (CV)	0.5254449893
Kurtosis	-0.4872527487
Mean	12.18639973
Median Absolute Deviation (MAD)	4.6
Skewness	0.02389982065
Sum	1725058
Variance	41.00202901
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	883	0.6%
9.6	883	0.6%
10.2	880	0.6%
10.5	867	0.6%
10.8	860	0.6%
9	853	0.6%
12	850	0.6%
10	849	0.6%
13	844	0.6%
10.4	842	0.6%
Other values (379)	132945	93.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-8.5	1	< 0.1%
-8.2	2	< 0.1%
-8	2	< 0.1%
-7.8	1	< 0.1%
-7.6	2	< 0.1%
-7.5	2	< 0.1%
-7.3	1	< 0.1%
-7.2	1	< 0.1%
-7.1	1	< 0.1%
-7	6	< 0.1%

Value	Count	Frequency (%)
33.9	1	< 0.1%
31.9	1	< 0.1%
31.8	1	< 0.1%
31.4	3	< 0.1%
31.2	1	< 0.1%
31	1	< 0.1%
30.7	2	< 0.1%
30.5	1	< 0.1%
30.3	1	< 0.1%
30.2	1	< 0.1%

MaxTemp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	505
Distinct (%)	0.4%
Missing	322
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	23.22678419

Minimum	-4.8
Maximum	48.1
Zeros	14
Zeros (%)	< 0.1%
Negative	105
Negative (%)	0.1%
Memory size	1.1 MiB

Quantile statistics

Minimum	-4.8
5-th percentile	12.8
Q1	17.9
median	22.6
Q3	28.2
95-th percentile	35.5
Maximum	48.1
Range	52.9
Interquartile range (IQR)	10.3

Descriptive statistics

Standard deviation	7.117618141
Coefficient of variation (CV)	0.306440103
Kurtosis	-0.2384461504
Mean	23.22678419
Median Absolute Deviation (MAD)	5.1
Skewness	0.2249166146
Sum	3295207.1
Variance	50.660488
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	871	0.6%
19.8	829	0.6%
19	827	0.6%
20.4	820	0.6%
20.8	804	0.6%
19.9	803	0.6%
19.5	801	0.6%
21	799	0.6%
18.5	793	0.6%
18.2	792	0.6%
Other values (495)	133732	94.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-4.8	1	< 0.1%
-4.1	1	< 0.1%
-3.8	1	< 0.1%
-3.7	1	< 0.1%
-3.2	1	< 0.1%
-3.1	2	< 0.1%
-3	1	< 0.1%
-2.9	1	< 0.1%
-2.7	1	< 0.1%
-2.5	2	< 0.1%

Value	Count	Frequency (%)
48.1	1	< 0.1%
47.3	2	< 0.1%
47	1	< 0.1%
46.9	1	< 0.1%
46.8	3	< 0.1%
46.7	2	< 0.1%
46.6	1	< 0.1%
46.5	1	< 0.1%
46.4	4	< 0.1%
46.3	2	< 0.1%

Rainfall
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	679
Distinct (%)	0.5%
Missing	1406
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.349974074

Minimum	0
Maximum	371
Zeros	90275
Zeros (%)	63.5%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.8
95-th percentile	13
Maximum	371
Range	371
Interquartile range (IQR)	0.8

Descriptive statistics

Standard deviation	8.465172918
Coefficient of variation (CV)	3.602240982
Kurtosis	180.0020968
Mean	2.349974074
Median Absolute Deviation (MAD)	0
Skewness	9.888061068
Sum	330845.8
Variance	71.65915253
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	90275	63.5%
0.2	8685	6.1%
0.4	3750	2.6%
0.6	2562	1.8%
0.8	2028	1.4%
1	1747	1.2%
1.2	1515	1.1%
1.4	1365	1.0%
1.6	1187	0.8%
1.8	1088	0.8%
Other values (669)	26585	18.7%
(Missing)	1406	1.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	90275	63.5%
0.1	154	0.1%
0.2	8685	6.1%
0.3	64	< 0.1%
0.4	3750	2.6%
0.5	39	< 0.1%
0.6	2562	1.8%
0.7	13	< 0.1%
0.8	2028	1.4%
0.9	15	< 0.1%

Value	Count	Frequency (%)
371	1	< 0.1%
367.6	1	< 0.1%
278.4	1	< 0.1%
268.6	1	< 0.1%
247.2	1	< 0.1%
240	1	< 0.1%
236.8	1	< 0.1%
225	1	< 0.1%
219.6	1	< 0.1%
216.3	1	< 0.1%

Evaporation
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	356
Distinct (%)	0.4%
Missing	60843
Missing (%)	42.8%
Infinite	0
Infinite (%)	0.0%
Mean	5.469824216

Minimum	0
Maximum	145
Zeros	240
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2.6
median	4.8
Q3	7.4
95-th percentile	12
Maximum	145
Range	145
Interquartile range (IQR)	4.8

Descriptive statistics

Standard deviation	4.188536509
Coefficient of variation (CV)	0.7657534033
Kurtosis	45.06778373
Mean	5.469824216
Median Absolute Deviation (MAD)	2.4
Skewness	3.746833979
Sum	444970.2
Variance	17.54383809
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	3282	2.3%
8	2574	1.8%
2.2	2057	1.4%
2	1996	1.4%
2.6	1975	1.4%
2.4	1963	1.4%
1.8	1945	1.4%
3	1937	1.4%
3.4	1934	1.4%
3.2	1918	1.3%
Other values (346)	59769	42.0%
(Missing)	60843	42.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	240	0.2%
0.1	8	< 0.1%
0.2	497	0.3%
0.3	10	< 0.1%
0.4	760	0.5%
0.5	14	< 0.1%
0.6	1082	0.8%
0.7	24	< 0.1%
0.8	1358	1.0%
0.9	28	< 0.1%

Value	Count	Frequency (%)
145	1	< 0.1%
86.2	1	< 0.1%
82.4	1	< 0.1%
81.2	1	< 0.1%
77.3	1	< 0.1%
74.8	1	< 0.1%
72.2	1	< 0.1%
70.4	1	< 0.1%
70	1	< 0.1%
68.8	2	< 0.1%

Sunshine
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	145
Distinct (%)	0.2%
Missing	67816
Missing (%)	47.7%
Infinite	0
Infinite (%)	0.0%
Mean	7.624853113

Minimum	0
Maximum	14.5
Zeros	2308
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	4.9
median	8.5
Q3	10.6
95-th percentile	12.8
Maximum	14.5
Range	14.5
Interquartile range (IQR)	5.7

Descriptive statistics

Standard deviation	3.781524994
Coefficient of variation (CV)	0.495947258
Kurtosis	-0.8203636955
Mean	7.624853113
Median Absolute Deviation (MAD)	2.6
Skewness	-0.5029112767
Sum	567113.7
Variance	14.29993128
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2308	1.6%
10.7	1087	0.8%
11	1078	0.8%
10.8	1058	0.7%
10.5	1018	0.7%
10.9	1013	0.7%
10.3	999	0.7%
10.2	985	0.7%
10	973	0.7%
11.1	967	0.7%
Other values (135)	62891	44.2%
(Missing)	67816	47.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2308	1.6%
0.1	533	0.4%
0.2	511	0.4%
0.3	422	0.3%
0.4	319	0.2%
0.5	315	0.2%
0.6	293	0.2%
0.7	338	0.2%
0.8	314	0.2%
0.9	318	0.2%

Value	Count	Frequency (%)
14.5	1	< 0.1%
14.3	4	< 0.1%
14.2	2	< 0.1%
14.1	6	< 0.1%
14	15	< 0.1%
13.9	22	< 0.1%
13.8	56	< 0.1%
13.7	117	0.1%
13.6	180	0.1%
13.5	181	0.1%

WindGustDir
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	9330
Missing (%)	6.6%
Memory size	1.1 MiB

W	9780
SE	9309
E	9071
N	9033
SSE	8993
Other values (11)	86677

Length

Max length	3
Median length	2
Mean length	2.195901041
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	W
2nd row	WNW
3rd row	WSW
4th row	NE
5th row	W

Common Values

Value	Count	Frequency (%)
W	9780	6.9%
SE	9309	6.5%
E	9071	6.4%
N	9033	6.4%
SSE	8993	6.3%
S	8949	6.3%
WSW	8901	6.3%
SW	8797	6.2%
SSW	8610	6.1%
WNW	8066	5.7%
Other values (6)	43354	30.5%
(Missing)	9330	6.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
w	9780	7.4%
se	9309	7.0%
e	9071	6.8%
n	9033	6.8%
sse	8993	6.8%
s	8949	6.7%
wsw	8901	6.7%
sw	8797	6.6%
ssw	8610	6.5%
wnw	8066	6.1%
Other values (6)	43354	32.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

WindGustSpeed
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	67
Distinct (%)	0.1%
Missing	9270
Missing (%)	6.5%
Infinite	0
Infinite (%)	0.0%
Mean	39.98429166

Minimum	6
Maximum	135
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	6
5-th percentile	20
Q1	31
median	39
Q3	48
95-th percentile	65
Maximum	135
Range	129
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	13.58880077
Coefficient of variation (CV)	0.3398534825
Kurtosis	1.417854632
Mean	39.98429166
Median Absolute Deviation (MAD)	9
Skewness	0.8743045673
Sum	5314832
Variance	184.6555062
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	9070	6.4%
39	8656	6.1%
31	8310	5.8%
37	7903	5.6%
33	7814	5.5%
41	7236	5.1%
30	6943	4.9%
43	6513	4.6%
28	6382	4.5%
44	5341	3.8%
Other values (57)	58755	41.3%
(Missing)	9270	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	1	< 0.1%
7	18	< 0.1%
9	91	0.1%
11	190	0.1%
13	529	0.4%
15	829	0.6%
17	1375	1.0%
19	1728	1.2%
20	2598	1.8%
22	2787	2.0%

Value	Count	Frequency (%)
135	3	< 0.1%
130	1	< 0.1%
126	2	< 0.1%
124	2	< 0.1%
122	2	< 0.1%
120	3	< 0.1%
117	4	< 0.1%
115	5	< 0.1%
113	8	< 0.1%
111	3	< 0.1%

WindDir9am
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	10013
Missing (%)	7.0%
Memory size	1.1 MiB

N	11393
SE	9162
E	9024
SSE	8966
NW	8552
Other values (11)	85083

Length

Max length	3
Median length	2
Mean length	2.184309275
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	W
2nd row	NNW
3rd row	W
4th row	SE
5th row	ENE

Common Values

Value	Count	Frequency (%)
N	11393	8.0%
SE	9162	6.4%
E	9024	6.3%
SSE	8966	6.3%
NW	8552	6.0%
S	8493	6.0%
W	8260	5.8%
SW	8237	5.8%
NNE	7948	5.6%
NNW	7840	5.5%
Other values (6)	44305	31.2%
(Missing)	10013	7.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
n	11393	8.6%
se	9162	6.9%
e	9024	6.8%
sse	8966	6.8%
nw	8552	6.5%
s	8493	6.4%
w	8260	6.2%
sw	8237	6.2%
nne	7948	6.0%
nnw	7840	5.9%
Other values (6)	44305	33.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

WindDir3pm
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	3778
Missing (%)	2.7%
Memory size	1.1 MiB

SE	10663
W	9911
S	9598
WSW	9329
SW	9182
Other values (11)	89732

Length

Max length	3
Median length	2
Mean length	2.208806849
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	WNW
2nd row	WSW
3rd row	WSW
4th row	E
5th row	NW

Common Values

Value	Count	Frequency (%)
SE	10663	7.5%
W	9911	7.0%
S	9598	6.7%
WSW	9329	6.6%
SW	9182	6.5%
SSE	9142	6.4%
N	8667	6.1%
WNW	8656	6.1%
NW	8468	6.0%
ESE	8382	5.9%
Other values (6)	46417	32.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
se	10663	7.7%
w	9911	7.2%
s	9598	6.9%
wsw	9329	6.7%
sw	9182	6.6%
sse	9142	6.6%
n	8667	6.3%
wnw	8656	6.3%
nw	8468	6.1%
ese	8382	6.1%
Other values (6)	46417	33.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

WindSpeed9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	43
Distinct (%)	< 0.1%
Missing	1348
Missing (%)	0.9%
Infinite	0
Infinite (%)	0.0%
Mean	14.001988

Minimum	0
Maximum	130
Zeros	8612
Zeros (%)	6.1%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7
median	13
Q3	19
95-th percentile	30
Maximum	130
Range	130
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.893337098
Coefficient of variation (CV)	0.6351481731
Kurtosis	1.226555132
Mean	14.001988
Median Absolute Deviation (MAD)	6
Skewness	0.77549369
Sum	1972110
Variance	79.09144474
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
9	13400	9.4%
13	12851	9.0%
11	11514	8.1%
17	10599	7.5%
7	10587	7.4%
15	10396	7.3%
6	8989	6.3%
0	8612	6.1%
19	8579	6.0%
20	7904	5.6%
Other values (33)	37414	26.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8612	6.1%
2	4544	3.2%
4	6292	4.4%
6	8989	6.3%
7	10587	7.4%
9	13400	9.4%
11	11514	8.1%
13	12851	9.0%
15	10396	7.3%
17	10599	7.5%

Value	Count	Frequency (%)
130	1	< 0.1%
87	2	< 0.1%
83	1	< 0.1%
74	4	< 0.1%
72	1	< 0.1%
69	2	< 0.1%
67	3	< 0.1%
65	8	< 0.1%
63	8	< 0.1%
61	11	< 0.1%

WindSpeed3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	44
Distinct (%)	< 0.1%
Missing	2630
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	18.63757586

Minimum	0
Maximum	87
Zeros	1096
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	13
median	19
Q3	24
95-th percentile	34.8
Maximum	87
Range	87
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.803345036
Coefficient of variation (CV)	0.4723438875
Kurtosis	0.775864544
Mean	18.63757586
Median Absolute Deviation (MAD)	6
Skewness	0.6314326033
Sum	2601116
Variance	77.49888383
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
13	12338	8.7%
17	12306	8.7%
20	11504	8.1%
15	11301	7.9%
19	11034	7.8%
11	9844	6.9%
9	9577	6.7%
24	8846	6.2%
22	8410	5.9%
28	6395	4.5%
Other values (34)	38008	26.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1096	0.8%
2	1012	0.7%
4	2213	1.6%
6	3744	2.6%
7	5813	4.1%
9	9577	6.7%
11	9844	6.9%
13	12338	8.7%
15	11301	7.9%
17	12306	8.7%

Value	Count	Frequency (%)
87	1	< 0.1%
83	2	< 0.1%
78	1	< 0.1%
76	2	< 0.1%
74	1	< 0.1%
72	2	< 0.1%
69	3	< 0.1%
67	1	< 0.1%
65	17	< 0.1%
63	13	< 0.1%

Humidity9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	101
Distinct (%)	0.1%
Missing	1774
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	68.84381031

Minimum	0
Maximum	100
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	34
Q1	57
median	70
Q3	83
95-th percentile	98
Maximum	100
Range	100
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	19.05129254
Coefficient of variation (CV)	0.2767321049
Kurtosis	-0.03924572083
Mean	68.84381031
Median Absolute Deviation (MAD)	13
Skewness	-0.4828207735
Sum	9666979
Variance	362.9517473
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	3350	2.4%
70	2985	2.1%
69	2962	2.1%
68	2961	2.1%
65	2952	2.1%
71	2939	2.1%
66	2916	2.1%
67	2895	2.0%
64	2867	2.0%
75	2859	2.0%
Other values (91)	110733	77.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	5	< 0.1%
2	8	< 0.1%
3	10	< 0.1%
4	20	< 0.1%
5	27	< 0.1%
6	37	< 0.1%
7	43	< 0.1%
8	56	< 0.1%
9	71	< 0.1%

Value	Count	Frequency (%)
100	2827	2.0%
99	3350	2.4%
98	2063	1.5%
97	1757	1.2%
96	1577	1.1%
95	1589	1.1%
94	1730	1.2%
93	1833	1.3%
92	1728	1.2%
91	1834	1.3%

Humidity3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	101
Distinct (%)	0.1%
Missing	3610
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	51.48260609

Minimum	0
Maximum	100
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	17
Q1	37
median	52
Q3	66
95-th percentile	88
Maximum	100
Range	100
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	20.79777184
Coefficient of variation (CV)	0.4039766714
Kurtosis	-0.511101194
Mean	51.48260609
Median Absolute Deviation (MAD)	14
Skewness	0.03451544293
Sum	7134614
Variance	432.5473137
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52	2699	1.9%
55	2685	1.9%
57	2679	1.9%
53	2650	1.9%
59	2639	1.9%
58	2604	1.8%
54	2595	1.8%
51	2577	1.8%
56	2574	1.8%
50	2573	1.8%
Other values (91)	112308	79.0%
(Missing)	3610	2.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	< 0.1%
1	26	< 0.1%
2	35	< 0.1%
3	63	< 0.1%
4	113	0.1%
5	156	0.1%
6	239	0.2%
7	302	0.2%
8	420	0.3%
9	478	0.3%

Value	Count	Frequency (%)
100	393	0.3%
99	428	0.3%
98	588	0.4%
97	393	0.3%
96	451	0.3%
95	452	0.3%
94	550	0.4%
93	593	0.4%
92	636	0.4%
91	601	0.4%

Pressure9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	546
Distinct (%)	0.4%
Missing	14014
Missing (%)	9.9%
Infinite	0
Infinite (%)	0.0%
Mean	1017.653758

Minimum	980.5
Maximum	1041
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	980.5
5-th percentile	1006.2
Q1	1012.9
median	1017.6
Q3	1022.4
95-th percentile	1029.5
Maximum	1041
Range	60.5
Interquartile range (IQR)	9.5

Descriptive statistics

Standard deviation	7.105475712
Coefficient of variation (CV)	0.006982213403
Kurtosis	0.2361999825
Mean	1017.653758
Median Absolute Deviation (MAD)	4.7
Skewness	-0.09621089388
Sum	130441841.1
Variance	50.48778509
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1016.4	804	0.6%
1017.9	779	0.5%
1018.7	764	0.5%
1018	761	0.5%
1015.9	757	0.5%
1017.3	756	0.5%
1017.8	755	0.5%
1016.3	753	0.5%
1017.2	745	0.5%
1015.5	744	0.5%
Other values (536)	120561	84.8%
(Missing)	14014	9.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
980.5	1	< 0.1%
982	1	< 0.1%
982.2	1	< 0.1%
982.3	1	< 0.1%
982.9	2	< 0.1%
983.7	1	< 0.1%
983.9	1	< 0.1%
984.4	1	< 0.1%
984.6	2	< 0.1%
985	1	< 0.1%

Value	Count	Frequency (%)
1041	1	< 0.1%
1040.9	1	< 0.1%
1040.6	2	< 0.1%
1040.5	1	< 0.1%
1040.4	3	< 0.1%
1040.3	3	< 0.1%
1040.2	2	< 0.1%
1040.1	3	< 0.1%
1040	1	< 0.1%
1039.9	3	< 0.1%

Pressure3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	549
Distinct (%)	0.4%
Missing	13981
Missing (%)	9.8%
Infinite	0
Infinite (%)	0.0%
Mean	1015.258204

Minimum	977.1
Maximum	1039.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	977.1
5-th percentile	1004
Q1	1010.4
median	1015.2
Q3	1020
95-th percentile	1026.9
Maximum	1039.6
Range	62.5
Interquartile range (IQR)	9.6

Descriptive statistics

Standard deviation	7.036676783
Coefficient of variation (CV)	0.006930923344
Kurtosis	0.1325207865
Mean	1015.258204
Median Absolute Deviation (MAD)	4.8
Skewness	-0.04619761861
Sum	130168284.8
Variance	49.51482016
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1015.5	773	0.5%
1015.3	767	0.5%
1015.7	763	0.5%
1015.6	761	0.5%
1015.1	752	0.5%
1015.8	751	0.5%
1013.5	751	0.5%
1015.4	745	0.5%
1016	738	0.5%
1014.8	735	0.5%
Other values (539)	120676	84.9%
(Missing)	13981	9.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
977.1	1	< 0.1%
978.2	1	< 0.1%
979	1	< 0.1%
980.2	2	< 0.1%
981.2	1	< 0.1%
981.4	1	< 0.1%
981.9	1	< 0.1%
982.2	1	< 0.1%
982.6	1	< 0.1%
982.9	1	< 0.1%

Value	Count	Frequency (%)
1039.6	1	< 0.1%
1038.9	1	< 0.1%
1038.5	1	< 0.1%
1038.4	1	< 0.1%
1038.2	1	< 0.1%
1038	1	< 0.1%
1037.9	2	< 0.1%
1037.8	2	< 0.1%
1037.7	3	< 0.1%
1037.6	1	< 0.1%

Cloud9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	53657
Missing (%)	37.7%
Infinite	0
Infinite (%)	0.0%
Mean	4.437189392

Minimum	0
Maximum	9
Zeros	8587
Zeros (%)	6.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	5
Q3	7
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.887015526
Coefficient of variation (CV)	0.6506405904
Kurtosis	-1.5411594
Mean	4.437189392
Median Absolute Deviation (MAD)	3
Skewness	-0.2242855389
Sum	392851
Variance	8.334858646
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	19749	13.9%
1	15558	10.9%
8	14389	10.1%
0	8587	6.0%
6	8072	5.7%
2	6442	4.5%
3	5854	4.1%
5	5510	3.9%
4	4373	3.1%
9	2	< 0.1%
(Missing)	53657	37.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8587	6.0%
1	15558	10.9%
2	6442	4.5%
3	5854	4.1%
4	4373	3.1%
5	5510	3.9%
6	8072	5.7%
7	19749	13.9%
8	14389	10.1%
9	2	< 0.1%

Value	Count	Frequency (%)
9	2	< 0.1%
8	14389	10.1%
7	19749	13.9%
6	8072	5.7%
5	5510	3.9%
4	4373	3.1%
3	5854	4.1%
2	6442	4.5%
1	15558	10.9%
0	8587	6.0%

Cloud3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	57094
Missing (%)	40.2%
Infinite	0
Infinite (%)	0.0%
Mean	4.5031669

Minimum	0
Maximum	9
Zeros	4957
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	7
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.72063253
Coefficient of variation (CV)	0.604159826
Kurtosis	-1.457932583
Mean	4.5031669
Median Absolute Deviation (MAD)	2
Skewness	-0.2240923649
Sum	383215
Variance	7.401841365
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	18052	12.7%
1	14827	10.4%
8	12407	8.7%
6	8869	6.2%
2	7153	5.0%
3	6836	4.8%
5	6743	4.7%
4	5254	3.7%
0	4957	3.5%
9	1	< 0.1%
(Missing)	57094	40.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4957	3.5%
1	14827	10.4%
2	7153	5.0%
3	6836	4.8%
4	5254	3.7%
5	6743	4.7%
6	8869	6.2%
7	18052	12.7%
8	12407	8.7%
9	1	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	12407	8.7%
7	18052	12.7%
6	8869	6.2%
5	6743	4.7%
4	5254	3.7%
3	6836	4.8%
2	7153	5.0%
1	14827	10.4%
0	4957	3.5%

Temp9am
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	440
Distinct (%)	0.3%
Missing	904
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	16.98750858

Minimum	-7.2
Maximum	40.2
Zeros	35
Zeros (%)	< 0.1%
Negative	420
Negative (%)	0.3%
Memory size	1.1 MiB

Quantile statistics

Minimum	-7.2
5-th percentile	6.9
Q1	12.3
median	16.7
Q3	21.6
95-th percentile	28.2
Maximum	40.2
Range	47.4
Interquartile range (IQR)	9.3

Descriptive statistics

Standard deviation	6.492838325
Coefficient of variation (CV)	0.3822125119
Kurtosis	-0.3491547666
Mean	16.98750858
Median Absolute Deviation (MAD)	4.6
Skewness	0.09138682047
Sum	2400148.1
Variance	42.15694952
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17	901	0.6%
13.8	887	0.6%
14.8	873	0.6%
16	869	0.6%
16.6	855	0.6%
14	855	0.6%
15	852	0.6%
16.5	844	0.6%
13	831	0.6%
15.4	827	0.6%
Other values (430)	132695	93.3%
(Missing)	904	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-7.2	1	< 0.1%
-7	1	< 0.1%
-6.2	1	< 0.1%
-5.9	1	< 0.1%
-5.6	2	< 0.1%
-5.5	2	< 0.1%
-5.3	2	< 0.1%
-5.2	5	< 0.1%
-4.8	1	< 0.1%
-4.5	2	< 0.1%

Value	Count	Frequency (%)
40.2	1	< 0.1%
39.4	1	< 0.1%
39.1	1	< 0.1%
39	1	< 0.1%
38.9	1	< 0.1%
38.6	1	< 0.1%
38.3	1	< 0.1%
38.2	1	< 0.1%
38	1	< 0.1%
37.9	1	< 0.1%

Temp3pm
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	500
Distinct (%)	0.4%
Missing	2726
Missing (%)	1.9%
Infinite	0
Infinite (%)	0.0%
Mean	21.68723497

Minimum	-5.4
Maximum	46.7
Zeros	16
Zeros (%)	< 0.1%
Negative	171
Negative (%)	0.1%
Memory size	1.1 MiB

Quantile statistics

Minimum	-5.4
5-th percentile	11.5
Q1	16.6
median	21.1
Q3	26.4
95-th percentile	33.7
Maximum	46.7
Range	52.1
Interquartile range (IQR)	9.8

Descriptive statistics

Standard deviation	6.937593869
Coefficient of variation (CV)	0.3198929636
Kurtosis	-0.1464607024
Mean	21.68723497
Median Absolute Deviation (MAD)	4.9
Skewness	0.2400541927
Sum	3024653.6
Variance	48.13020868
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	871	0.6%
19	858	0.6%
18.4	856	0.6%
18.5	856	0.6%
17.8	845	0.6%
19.2	826	0.6%
19.4	825	0.6%
18	821	0.6%
19.3	821	0.6%
17	814	0.6%
Other values (490)	131074	92.2%
(Missing)	2726	1.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-5.4	1	< 0.1%
-5.1	1	< 0.1%
-4.4	1	< 0.1%
-4.2	1	< 0.1%
-4.1	1	< 0.1%
-4	1	< 0.1%
-3.9	2	< 0.1%
-3.8	1	< 0.1%
-3.7	3	< 0.1%
-3.5	3	< 0.1%

Value	Count	Frequency (%)
46.7	1	< 0.1%
46.2	1	< 0.1%
46.1	3	< 0.1%
45.9	1	< 0.1%
45.8	2	< 0.1%
45.4	1	< 0.1%
45.3	2	< 0.1%
45.2	2	< 0.1%
45	1	< 0.1%
44.9	1	< 0.1%

RainToday
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	1406
Missing (%)	1.0%
Memory size	1.1 MiB

0.0	109332
1.0	31455

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	109332	76.9%
1.0	31455	22.1%
(Missing)	1406	1.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	109332	77.7%
1.0	31455	22.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

RainTomorrow
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

0	110316
1	31877

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	110316	77.6%
1	31877	22.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	110316	77.6%
1	31877	22.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Date	Location	MinTemp	MaxTemp	Rainfall	Evaporation	Sunshine	WindGustDir	WindGustSpeed	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Pressure9am	Pressure3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm	RainToday	RainTomorrow
0	2008-12-01	Albury	13.4	22.9	0.6	NaN	NaN	W	44.0	W	WNW	20.0	24.0	71.0	22.0	1007.7	1007.1	8.0	NaN	16.9	21.8	0.0	0
1	2008-12-02	Albury	7.4	25.1	0.0	NaN	NaN	WNW	44.0	NNW	WSW	4.0	22.0	44.0	25.0	1010.6	1007.8	NaN	NaN	17.2	24.3	0.0	0
2	2008-12-03	Albury	12.9	25.7	0.0	NaN	NaN	WSW	46.0	W	WSW	19.0	26.0	38.0	30.0	1007.6	1008.7	NaN	2.0	21.0	23.2	0.0	0
3	2008-12-04	Albury	9.2	28.0	0.0	NaN	NaN	NE	24.0	SE	E	11.0	9.0	45.0	16.0	1017.6	1012.8	NaN	NaN	18.1	26.5	0.0	0
4	2008-12-05	Albury	17.5	32.3	1.0	NaN	NaN	W	41.0	ENE	NW	7.0	20.0	82.0	33.0	1010.8	1006.0	7.0	8.0	17.8	29.7	0.0	0
5	2008-12-06	Albury	14.6	29.7	0.2	NaN	NaN	WNW	56.0	W	W	19.0	24.0	55.0	23.0	1009.2	1005.4	NaN	NaN	20.6	28.9	0.0	0
6	2008-12-07	Albury	14.3	25.0	0.0	NaN	NaN	W	50.0	SW	W	20.0	24.0	49.0	19.0	1009.6	1008.2	1.0	NaN	18.1	24.6	0.0	0
7	2008-12-08	Albury	7.7	26.7	0.0	NaN	NaN	W	35.0	SSE	W	6.0	17.0	48.0	19.0	1013.4	1010.1	NaN	NaN	16.3	25.5	0.0	0
8	2008-12-09	Albury	9.7	31.9	0.0	NaN	NaN	NNW	80.0	SE	NW	7.0	28.0	42.0	9.0	1008.9	1003.6	NaN	NaN	18.3	30.2	0.0	1
9	2008-12-10	Albury	13.1	30.1	1.4	NaN	NaN	W	28.0	S	SSE	15.0	11.0	58.0	27.0	1007.0	1005.7	NaN	NaN	20.1	28.2	1.0	0

Last rows

	Date	Location	MinTemp	MaxTemp	Evaporation	Sunshine	WindGustDir	WindGustSpeed	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Pressure9am	Pressure3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm
142183	2017-06-15	Uluru	2.6	22.5	NaN	NaN	S	19.0	S	E	9.0	7.0	59.0	24.0	1025.0	1021.4	NaN	NaN	8.8	22.1
142184	2017-06-16	Uluru	5.2	24.3	NaN	NaN	E	24.0	SE	E	11.0	11.0	53.0	24.0	1023.8	1020.0	NaN	NaN	12.3	23.3
142185	2017-06-17	Uluru	6.4	23.4	NaN	NaN	ESE	31.0	S	ESE	15.0	17.0	53.0	25.0	1025.8	1023.0	NaN	NaN	11.2	23.1
142186	2017-06-18	Uluru	8.0	20.7	NaN	NaN	ESE	41.0	SE	E	19.0	26.0	56.0	32.0	1028.1	1024.3	NaN	7.0	11.6	20.0
142187	2017-06-19	Uluru	7.4	20.6	NaN	NaN	E	35.0	ESE	E	15.0	17.0	63.0	33.0	1027.2	1023.3	NaN	NaN	11.0	20.3
142188	2017-06-20	Uluru	3.5	21.8	NaN	NaN	E	31.0	ESE	E	15.0	13.0	59.0	27.0	1024.7	1021.2	NaN	NaN	9.4	20.9
142189	2017-06-21	Uluru	2.8	23.4	NaN	NaN	E	31.0	SE	ENE	13.0	11.0	51.0	24.0	1024.6	1020.3	NaN	NaN	10.1	22.4
142190	2017-06-22	Uluru	3.6	25.3	NaN	NaN	NNW	22.0	SE	N	13.0	9.0	56.0	21.0	1023.5	1019.1	NaN	NaN	10.9	24.5
142191	2017-06-23	Uluru	5.4	26.9	NaN	NaN	N	37.0	SE	WNW	9.0	9.0	53.0	24.0	1021.0	1016.8	NaN	NaN	12.5	26.1
142192	2017-06-24	Uluru	7.8	27.0	NaN	NaN	SE	28.0	SSE	N	13.0	7.0	51.0	24.0	1019.4	1016.5	3.0	2.0	15.1	26.0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows